Positive Systems
DOI: 10.1007/3-540-34774-7_51
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Nonlinear Perron-Frobenius Theory and Dynamics of Cone Maps

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Cited by 6 publications
(7 citation statements)
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“…. r) for some 1 ≤ r ≤ N. Then the above theorem reduces to a particular case of a result of Lemmens as stated in [5]. We now state the same as a corollary.…”
Section: A Generalisation Of Theorem (11) For Pairwise Commuting Matr...mentioning
confidence: 70%
“…. r) for some 1 ≤ r ≤ N. Then the above theorem reduces to a particular case of a result of Lemmens as stated in [5]. We now state the same as a corollary.…”
Section: A Generalisation Of Theorem (11) For Pairwise Commuting Matr...mentioning
confidence: 70%
“…For positive maps which are also order-preserving and sub-homogeneous, existing results (see next section for insights) do not provide any condition to ensure convergence to a fixed point, but only to periodic points [13] when the initial state is strictly positive, i.e., x ∈ R n + . Furthermore, to the best of our knowledge, no result provides any information about trajectories whose initial state lies in the boundary of R n ≥0 .…”
Section: Resultsmentioning
confidence: 99%
“…An extensive overview of these results was given by Hirsch and Smith [9]. On the other hand, in nonlinear Perron-Frobenius theory one usually considers discrete-time dynamical systems that need not be strongly order-preserving, but satisfy an additional concave assumption and obtain similar results regarding periodic trajectories [13]. The concave assumption of interest in this paper is sub-homogeneity.…”
Section: Sub-homogeneous Mapsmentioning
confidence: 96%
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“…Although there are various generalizations of the classical Perron-Frobenius theorem for primitive matrices in the literature, we could not find one with the convergence statement as in Theorem 1.1, which is needed for our applications. Perron-Frobenius theory and its generalizations are relevant in many more branches of mathematics than just symbolic dynamics, including applied linear algebra, and some areas of analysis and probability theory (see for instance [AGN11], [BSS12] and [Lem06]). We expect that Theorem 1.1 will find useful applications in other contexts.…”
Section: Introductionmentioning
confidence: 99%